Senior Risk Analyst

We’re Hiring: Analyst – Risk Data (Banking Industry) Location:

Remote Contract Duration:

6 Months (Extension based on performance review) Industry Requirement:

Banking experience

mandatory We are looking for an experienced

Data & Analytics Analyst

with strong expertise in

Credit Risk and Risk Data Management

within the

banking sector . This role involves supporting risk data acquisition, aggregation, analysis, and reporting while contributing to innovative solutions that enhance risk data management and analytics. ⚠️

Note:

Only candidates currently working in the Banking Industry and meeting the required criteria should apply. Key Responsibilities Provide

high-quality analytical inputs

to support Risk Data acquisition, aggregation, calculations, and reporting. Capture, validate, and document

business and data requirements

aligned with strategic principles. Analyze and visualize

large volumes of risk data

to identify business opportunities and support decision-making. Collaborate closely with teams including

Credit Risk Model Development, Risk Appetite, Portfolio Management, BASEL Capital Management, and IFRS 9 Reporting (Wholesale Banking) . Work with

IT partners

to deliver solutions for migrated legacy systems and align with strategic risk data architecture. Develop

automation solutions

for recurring tasks using

SQL, Python, and Excel Macros

while contributing to long-term strategic solutions. Support

Risk & Finance data controls

and help strengthen risk data governance and standards. Conduct

data gap analysis , identify business issues, and contribute to high-quality data-driven business solutions. Perform

data extraction, processing, manipulation, and analysis

to improve risk reporting and operational efficiency. Execute

quality assurance checks

to ensure data accuracy, consistency, and reliability. Required Skills & Experience 8–10 years of experience

in

Credit Risk, Risk Data Management Framework, and Basel III

within the

banking industry . Strong understanding of

Investment Banking products, Credit Risk, Stress Testing, Wholesale Credit Risk Model data, and Basel Capital Requirements . Hands-on experience with

Risk Data Collection, Aggregation, Calculations, and Reporting . Strong analytical and problem-solving skills with expertise in

data gap analysis and solutioning . Proficiency in

SQL, Python, R, and database tools . Experience with

data automation and reporting frameworks . Excellent

communication and stakeholder management skills . Education Graduate degree required MBA (Finance) or equivalent preferred CFA / FRM certification will be an added advantage Key Attributes Strong

team collaboration and accountability High

integrity and ethical standards Ability to drive

process improvements and automation initiatives Professional mindset with a strong focus on

data accuracy and governance